212results about How to "Remove background noise" patented technology

A diagnostic system for collecting, processing, recording and analyzing sounds associated with the physiologic activities of various human organs. The system includes a plurality of transducers placed on the body surface at the operator's discretion. The microphones are coupled to analogue/digital signal processing circuitry for enhancement of the desired signal and exclusion of ambient noise. An A/D converter digitizes the incoming data and transmits data, which is divided into a multitude of discrete blocks, received over very finite intervals of time, to a computer workstation and moved through an analysis program sequentially. The program is displayed as a series of icons which depict operations that the program performs and which allow the operator to reprogram the system at any time. The data is finally displayed in graphical format and stored in memory as the program processes each block sequentially.

An editing apparatus is disclosed, that comprises an editing processing unit for processing a video signal and an audio signal supplied as source materials, and a computer for controlling the editing processing unit, wherein the computer comprises a controlling means for displaying a viewer window, a log window, and a program window on a display of the computer, the viewer window allowing the editing operator to decide an edit point while viewing a video image of a source material so as to produce an event, the log window displaying a clip image corresponding to an event that is set on the viewer window, the program window allowing the editing operator to arrange a plurality of events on a time line in a desired order so as to produce a program list, and wherein the controlling means displays an icon that represents by what source device each event arranged on the time line is produced.

A method and a system for determining temperature and/or emissivity of an object by remote sensing are described. Based on the concept of temperature and emissivity determination, there are also developed a method and a system for the detection and recognition of an object that includes a plurality of sub-objects. The method for the detection and recognition of an object comprises acquiring, inter alia, electromagnetic radiation data of electromagnetic radiation emitted from a selected region in at least two spectral bands, recording and storing the required electromagnetic radiation data, deriving descriptive maps constituted by pixels of the selected region from the stored data and classifying the pixels of said descriptive maps of said selected region by pattern recognition processor means.

The invention is applicable to the terahertz optical field, and provides an electro-optic sampling device used for measuring terahertz optical pulse and a measuring method thereof. The device comprises a polarizer, an electro-optic sampling crystal, a beam splitter, a first phase compensator, a second phase compensator, a first analyzer, a second analyzer and a balanced detector. In the device, the detection light modulated by the terahertz optical pulse is divided into two paths, one of which passes through the first phase compensator and the first analyzer and is received by a first receiver, and the other one passes through the second phase compensator and the second analyzer and is received by a second receiver; therefore, the two beams of optical pulse introduced into the balanced detector have the similar noise characteristic, so as to be beneficial to eliminating background noise. Furthermore, the first phase compensator is regulated to lead one path of light to work at the position with the best optical modulation degree, and the second phase compensator is regulated to lead the static birefringence phase values of the two paths of light to be opposite numbers, so that the linear working range is not affected by static birefringence phase, and the signal to noise ratio can be optimized.

The invention discloses a partial discharge measurement device under impulse voltage on site and a signal processing method thereof. The device comprises a current sensor, a tapping point, a voltage attenuator, a voltage transient suppression device and a back-end processing and displaying system, wherein the output end of the current sensor is connected to the input end of the tapping point through an integrating resistor and a coaxial-cable; one path of the output end of the tapping point is connected to the input end of the voltage attenuator, and the other path is connected to the input end of the voltage transient suppression device; and the output ends of the voltage attenuator and the voltage transient suppression device are respectively connected onto the backeend processing and displaying system. The partial discharge measurement device under impulse voltage on site detects a displacement current signal on a GIS (Geographic Information System) ground wire through a Rogowski coil, the on-site measurement for loop building is simple, and the measurement mode is easy to operate and ensures the security of personnel and equipment.

The invention provides a pipeline leakage signal identification method based on improved ELMD multi-scale entropy. The pipeline leakage signal identification method includes the steps that firstly, acquired experimental data are subjected to noise pre-processing to eliminate low-correlation components in signals; then pre-processed signals are subjected to ELMD processing to obtain PF components;an endpoint effect problem reserved by ELMD decomposition is weakened through a peak value waveform matching method; the multi-scale entropy of the PF components is calculated correspondingly, and multi-scale entropy values of leakage signals are arrayed and compared to eliminate background noise; a feature vector is constructed by selecting a principal PF component according to the multi-scale entropy values; the feature vector is used as an input vector of a BP neural network to train the network; and a to-be-tested sample is input into a trained BP neural network to obtain a pipeline leakage identification result. The pipeline leakage signal identification method based on the improved ELMD multi-scale entropy can adapt to various conditions of pipelines and has good testing accuracy.

A system is described to monitor various parameters of a conversation, for example distinguishing voices in a conversation and reporting who in the group is violating the proper etiquette rules of conversation. These results would indicate any disruptive individuals in a conversation. So they are identified, monitored, trained to prevent further disturbances, and their etiquette is improved to prevent further disturbances. Some of the functions the system can perform include: report the identity of the voices, report how long one has spoken, report how often one interrupts, report how often one raises their voice, count the occurrences of obscenities and determine length of silences. The system, in addition, can provide meaning of words, send email, identify fast talkers, train to reduce the volume of a voice, provide a period of time to a voice, beep after someone uses a profanity, request a voice to speak up, provide grammatical corrections, provide text copies of conversation, and eliminate background noises.

The invention discloses a loudspeaker noise filtering device and method in speech recognition, wherein the loudspeaker noise filtering device comprises an audio frequency output module, a loudspeaker, a processing module and a microphone; the loudspeaker noise filtering method comprises: outputting a first audio frequency signal selected by a user to the loudspeaker through the audio frequency output module; the loudspeaker playing the first audio frequency signal; the processing module generating a reverse audio frequency signal according to the first audio frequency signal; and the microphone receiving the first audio frequency signal, the reverse audio frequency signal and the voice signal inputted by the user, performing synthesis treatment, and outputting the voice signal to be recognized to a voice database. The method generates the reverse audio frequency signal having waveforms opposite to the first audio signal frequency outputted by the loudspeaker so as to remove the background noise outputted by a mobile terminal, substantially improves the sharpness of the voice signal inputted by a user in speech recognition, and furthermore increases speech recognition accuracy.

A detection system combines an excitation radiation source (18) providing excitation radiation (10) to an analysis region of a sample (14) within a substrate (16) having a detection surface, a detector (22) for detecting radiation collected from the analysis region comprising the detection surface of the sample resulting from the excitation, and a magnet arrangement (24) beneath the analysis region of the sample, and stationary with respect to the excitation radiation source and light coupling arrangement, for attracting magnetic beads (15) within the sample to the substrate surface The detection radiation is collected from the detection surface of the substrate, to give an enhanced surface specificity The invention combines the advantages of surface detection with a simple low cost magnetic system for bringing the target to the surface

The invention discloses a data synchronization method which comprises the steps that track process data from a handwriting device and an audio from a recording device are collected simultaneously, are synchronized according to a time attribute of the track process data and a timestamp of the audio and played. The data synchronization method collects the track process data and explains the audio simultaneously, and the track process data corresponds to the audio strictly according to the time attribute, so that a writing track and audio explanation are synchronized; the consistency of the audio explanation and frame display is improved greatly; and a content display effect is improved. The invention further discloses a device and a terminal which are used for achieving the method.

The present invention provides a directional MEMS microphone and a receiver device wherein MEMS microphone comprises a microphone cover, a printed circuit board (PCB), a application specific integrated circuit (ASIC) chip, a MEMS die, a diaphragm, a damping, a metal wire(s), at least two internal acoustic ports and at least two external acoustic ports corresponding to the internal acoustic ports. The microphone further comprises a tuning cavity which includes a first tuning cavity by which a first internal acoustic port is communicated with a first external acoustic port, or by which a second internal acoustic port is communicated with a second external acoustic port. Compared with the prior art, the directional MEMS microphone including the tuning cavity to form a sound transmission channel by connecting the internal acoustic port and the external acoustic port expands the sound transmission distance, thereby increasing the sensitivity the directivity of the MEMS microphone.

A sensor instrument system and a method for detecting and identifying analytes in fluids of a region comprising a local sensor instrument and remote central station are disclosed. The instrument is comprised of a core technology employing a single sensor having two electrodes operated by an electrical frequency sweeping to generate two sets of patterned electrical information from a single measurement, a data transmission module and a GPS receiver module. The central station connects to a network means connected to a plurality of local receiving sites equipped with including the respective transceivers, so that the local analyte electrical information and geographic position information transmitted by the instrument can be wirelessly and remotely received and processed by the central station. The core technology is further comprised of a reference sensor for eliminating background influence, a temperature programming to control adsorption and desorption of analytes, and usage of all kinds of adsorbent materials having chemical selectivity including the hydrogen selectivity to enhance detection and identification of analytes in fluids.

The present invention relates in general to an video display apparatus, more particularly, to an video display apparatus having an sound level control function according to program genre or speaker of a received broadcast program.

In a system in accordance with the invention for detecting leaks, a mass spectrometer is connected to the aspiration side of a secondary pump whose discharge side is connected to the aspiration side of a primary pump driven by a rotational drive system adapted to vary the rotation speed of the primary pump between at least two different rotation speeds. An aspiration inlet is selectively connected by control valves either to the aspiration side of the primary pump or to the aspiration side or an intermediate area of the secondary pump. Variation of the rotation speed of the primary pump is used to perform faster pre-evacuation before the test, to detect grosser leaks, to compensate for a high level of outgassing or to adapt the sensitivity of the device, and equally to eliminate helium background noise from the primary pump.

The invention discloses an online abrasion monitoring method based on electrostatic induction, which is used for online monitoring of abrasion conditions under circulative lubrication. The method includes: firstly, acquiring electrostatic signals of oil and abrasive grains in the oil on line; secondly, using a denoising method which integrates cross correlation coefficients with differentials to denoise the acquired signals to obtain oil abrasive grain electrostatic signals; and thirdly, judging the abrasion conditions according to characteristic parameters of the oil abrasive grain electrostatic signals. Further, the characteristic parameters include at least one of root mean square values, kurtosis indexes and cross correlation coefficients. The invention further discloses an online abrasion monitoring device based on electrostatic induction and an experimental system. Compared with the prior art, the online abrasion monitoring method and the online abrasion monitoring device based on electrostatic induction, and the experimental system have the advantages that background noise in signals can be effectively removed, and accuracy in monitoring can be improved.

The invention discloses a brain electricity collecting device which particularly comprises an N-channel brain electricity collecting electrode, a brain electricity signal collector, a transmission module and a data receiving module. Brain electricity signals acquired by the N-channel brain electricity collecting electrode are fed into a high-impedance front buffer stage and then are converted into digital signals by a high-precision brain electricity collecting and converting module, the digital signals are transmitted into a digital signal processor, and processed signals are transmitted to the data receiving module according to particular requirements. The brain electricity collecting device has the advantages that the brain electricity collecting device is particularly provided with a 24-bit high-precision analog-digital conversion chip to directly acquire signals of relevant positions of the brain of a person, and digital signals converted by corresponding channels are subtracted from the signals, so that common-mode interference, device noise and other relevant background noise can be eliminated, and basically pure brain electricity signals can be obtained.

The communication privacy mask has a housing having an opening coupled with a mouth piece and a hollow sound tube mounted in the housing. A microphone is positioned in the sound tube with a space in front of the front end of the microphone.